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Vector databases are designed to store, manage, and index massive quantities of high-dimensional vector data efficiently that can help different types of queries, such as nearest neighbor. In this episode of the #AzureEnblementShow, Uli, Eric (@mougue) and David discuss how vector databases convert data to integers, cover some of the use cases of vector databases, and the benefits of embedding. This is part one of a two-part series.
Resources
• Vector search in Azure AI Search https://learn.microsoft.com/en-us/azu...
• Geospatial data processing and analytics https://learn.microsoft.com/en-us/azu...
• Microsoft Azure AI Fundamentals: Natural Language Processing https://learn.microsoft.com/en-us/tra...
• Azure Database for PostgreSQL https://learn.microsoft.com/en-us/tra...
• Vector DB Lookup tool for flows in Azure AI Studio https://learn.microsoft.com/en-us/azu...
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